[NBI] Concatenating a gridded rainfall dataset into a time series

[timo0thy]

What is the notebook about?

Calculate dry season rainfall averages in Borneo based on a gridded dataset and create a time series

Data Science Component

• Sensor visualisation
• Preprocessing
• Modelling
• Post-processing
• Other:

Checklist:

• Input data, pipeline and/or model are public with license/citation
• The proposed notebook reuses existing codebase
• The proposed notebook uses open-source packages
• The proposed notebook is associated to existing publication(s)

Additional information

Source of data: https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html
Publication: https://journals.ametsoc.org/view/journals/bams/102/12/BAMS-D-20-0117.1.xml

Steps are as follows:

1. Load gridded rainfall dataset
2. Create seasonal means
3. Extract the study region
4. Create area-averaged time series
5. Extract the dry season and restrict to the study timeframe
6. Plot the time series

[Alejandro ©]

@timo0thy thanks for logging the notebook idea! The steps look good to me (: Do you think you can demonstrated them over the whole Borneo? or maybe you need to think a subset?

Let me know if you find difficulties to continue the contribution process as it is detailed in the preparation section.

[Alejandro ©]

@timo0thy forked the notebook template from the EnvDS book organisation, here's the link to the notebook which passed the GH action.

[Alejandro ©]

The first draft of the repo was succesfully deployed using the template-executable-notebook from the Environmental-DS-Book organisation. The repository will be transferred from @timo0thy personal GitHub account to Environmental-DS-Book organisation.